Director, Data Science

About the position

We are seeking a visionary and hands-on Director of Data Science to lead our data science initiatives, drive innovation, and unlock the value of data to improve healthcare outcomes, operations, and strategic decision-making. This individual will oversee the development and deployment of advanced analytical models and machine learning solutions across multiple business units. A background in healthcare is strongly preferred, as a deep understanding of clinical, claims, or operational healthcare data will be critical to success.

Responsibilities

• Define and execute the organization's data science strategy aligned with business goals.
• Serve as a thought leader in AI/ML and advanced analytics, driving innovation and long-term value creation.
• Partner with stakeholders across clinical, operational, product, and technology teams to deliver impactful data solutions.
• Lead the design, development, and deployment of machine learning models and advanced analytics solutions.
• Champion the use of AI/ML in predictive modeling, natural language processing, and other healthcare use cases.
• Guide model validation, monitoring, and performance optimization practices.
• Build and manage a high-performing team of data scientists, ML engineers, and analysts.
• Provide mentorship, career development, and technical leadership to team members.
• Promote a culture of experimentation, continuous learning, and ethical AI use.
• Apply data science to real-world healthcare challenges, such as patient risk stratification, readmission prediction, cost forecasting, and clinical decision support.
• Utilize structured and unstructured data from EHRs, claims, registries, wearables, and other healthcare data sources.
• Stay current on industry trends, standards (e.g., FHIR, ICD-10, CPT), and regulations (e.g., HIPAA, HITECH).
• Establish standards for model governance, reproducibility, and compliance.
• Collaborate with data engineering and analytics teams to ensure data quality and infrastructure readiness.
• Translate complex data insights into clear business recommendations for executive leadership.

Requirements

• Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 10+ years of experience in data science or machine learning, with at least 3 years in a leadership or management role.
• Proven experience applying advanced analytics to solve complex business problems.
• Strong proficiency in programming language like Python or R, SQL.
• Experience with deep learning frameworks (e.g. TensorFlow, PyTorch).
• Deep understanding of cloud-based data platforms (AWS, Azure, or GCP).
• Prior experience of building, maintaining, and improving machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, Keras, scikit-learn, XGBoost, PyMC3 etc.).
• Experience with Knowledge Graphs, retrieval augmented generation (RAG), Large Language Models (LLMs), Search etc.
• Extensive experience with BI tools like Looker, Tableau, or PowerBI.
• Excellent communication skills, with the ability to translate technical concepts into strategic business value.

Nice-to-haves

• Background in healthcare, with experience working with EHR, claims, population health, or clinical outcomes data.
• Experience with healthcare-specific applications like risk adjustment, utilization management, or patient engagement.
• Familiarity with HIPAA, healthcare compliance, and ethical AI practices.

Benefits

• Health insurance
• 401k
• Paid time off
• Stock options